Top Data & Analytics Jobs

The role involves developing advanced risk and valuation models, mentoring junior quants, and engaging with clients on complex analytical queries.

The Senior Data Scientist will lead care gap analyses and HCP segmentation strategies using real-world data, mentor team members, and communicate insights to support medical affairs.

The role involves developing and calibrating financial models, enhancing analytics frameworks, collaborating across teams, and applying quantitative methods to improve business performance.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

The Senior Manager will lead model validation efforts, including economic forecasting and risk management models, while collaborating with business leaders and managing a team of analysts.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

The role involves developing and deploying advanced quantitative models, utilizing machine learning and cloud solutions, and collaborating with various business lines to enhance financial processes.

Responsible for validating market risk models and ensuring their accuracy. Engage with various stakeholders, communicate findings, and maintain model integrity while leveraging innovative analytical technologies.

Interns will work on security and privacy challenges using systems programming, data analysis, and open-source development to enhance internet integrity and reliability.

The Systems Researcher focuses on algorithm development and software engineering, collaborating with computer scientists and data scientists in quantitative equity investment.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

Lead enterprise data governance, quality, and lineage strategy. Mentor teams and partner with engineering to enhance data intelligence through AI-driven frameworks.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

As a Principal Quantitative Analyst, you will develop and enhance modeling frameworks, apply quantitative methods, and collaborate on cloud-based solutions to improve performance in Capital Markets and Analytics.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Summer internship on the Data & Analytics Platform team building automation, model prototypes, and platform features. Work with engineers to write, test, and deploy code, partner with internal customers to prototype ML and generative workflows, and participate in design discussions and code reviews in an agile environment.

The Director, Data Acquisition will lead strategies for acquiring and integrating third-party data, manage vendor relationships, and ensure compliance with data governance and privacy standards.

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.